mlflow chart version 1.6.0 released
We’re excited to announce the release of the latest version of the mlflow Helm chart — version 1.6.0 — available as of August 25, 2025. This release includes the updated mlflow application version 3.2.0 and brings a variety of improvements designed to make your Kubernetes deployments more seamless and secure.
What’s new in mlflow chart 1.6.0
Version 1.6.0 introduces several key changes and fixes thanks to contributions from our vibrant open-source community. Highlights include:
-
🔁 Auth and LDAP Auth external secret loading now handled via init containers
- Addresses: Issue #200, Issue #217
-
🔒 Improved security handling by removing empty security context definitions
- Fixes: Issue #219
For the full list of updates and technical details, check out the official mlflow 1.6.0 release notes on GitHub.
Get started with mlflow 1.6.0
Deploying mlflow in your Kubernetes environment is easier than ever. Our updated installation guide covers everything you need to get up and running:
- One-step install with default configurations
- How to customize settings for your specific needs
- Best practices for stable and secure production setups
Start exploring mlflow Helm chart features and deployment strategies by visiting the mlflow documentation.
Why choose the mlflow Helm chart?
Backed by the GitHub Community Charts initiative, the mlflow Helm chart is built to provide a production-ready, flexible, and easy-to-use deployment strategy:
- ⚙️ Simple, intuitive setup with Helm
- 🤝 Actively maintained by a passionate open-source community
- 🧩 Highly configurable to fit a range of Kubernetes environments
- 🛡️ Stable and secure architecture for reliable ML workflows
Join the community
We’d love for you to be part of the growing mlflow Helm chart community! There are many ways to get involved:
- 📚 Learn how the chart works in the official documentation
- 🔧 Contribute code or fixes via pull requests to the GitHub repository
- 🐞 Report bugs or issues through our issue tracker
- 💡 Propose new features and enhancements
Thank you for being part of the mlflow journey. With support from our community, we’re making MLOps on Kubernetes more accessible and powerful for everyone.